code: def current_sigma(self):
      sigma = max(self.sigma_min, self.m * float(self.n_steps) + self.c)
      return sigma
  
file_path: keras-rl/rl/random.py
imports: from __future__ import division
  import numpy
label_desc: Use image node_id 2 for calling the AnnealedGaussianProcess obj's underlying member method code with example usage: obj.current_sigma() and returns: sigma